Building from Seoul · Researching everywhere

Prove AX impact with
real execution data.

Baryon AI Work Pipeline measures what AI adoption actually changed — work → execute → output → verify → measure → standardize. One flagship product, already in paid production, compared before and after on the same metrics.

01Product

One pipeline from execution
to proof.

AI adoption is up, but most organizations cannot explain what it changed — account counts do not measure AX. Baryon AI Work Pipeline connects work execution and impact measurement in a single flow, so the work itself becomes the evidence.

1 · Input

Bring your real work in.

Connect PDF, Excel, PPT, Word, images, and internal knowledge — the pipeline starts from the documents and tasks your team already works with.

2 · Execute

AI runs the work, in parallel.

Research, comparison, analysis, and writing run through chat and parallel subagents — multiple models, one seat, no setup.

3 · Output

Results become editable deliverables.

Conversations turn into editable PPTX decks and shareable documents — outputs your organization can review, not chat transcripts.

4 · Verify

Every answer shows its sources.

See which internal documents grounded each answer, with citations recorded. What is not in your documents is not presented as evidence.

5 · Measure

Execution leaves impact data behind.

Model, tokens, cost, latency, and success are recorded per project automatically — usage, quality, and efficiency measured in three layers.

6 · Standardize

Repeated wins become the pipeline.

Recurring executions are fixed into organizational work pipelines and policies — compared before and after on the same metrics.

In paid production

We don't claim the numbers. Your execution records them.

Hanwha Aerospace & Hanwha Systems, Ara, Shinyoung, and Hanjung NCS run their work on it — Ara moved from short onboarding to always-on API-integrated operations. Every execution leaves its record, citation, cost, and output behind, automatically.

Stage 1 · Short onboarding — start measuring in your real work. Per-seat, same-day start, no installation, no server, no setup. Your first execution data lands the day you begin.

Stage 2 · Annual subscription — always-on operations with the AX impact report included: before-and-after comparison on the same metrics, per-project policies and cost caps, and an admin console. Quoted through an adoption consultation.

Ask about adoption →
02Company

Why measurement —
and why us.

We analyzed two years of AI adoption activity at Korea's largest listed companies through their public record. The market gap is not AI training — it is the operations layer that measures what happens after execution.

The gap we found

Everyone redesigns work. Almost no one measures it.

Work redesign was the most active adoption area, yet impact and ROI measurement was the only empty one — across every counting method we applied. Source: Baryon Labs research BL-IA-2026-03.

Who already trusts us

Delivered to real organizations, not demos.

Hanwha Aerospace, Ara, Yonsei University, ALPACO, LIKELION, and Karrot — training and operations delivered on the same product, with feedback flowing straight back into it.

We run what we ship

Our own business runs on the pipeline.

Baryon Labs operates its own domains with the same agents and measurement stack we sell. The faster we improve it for ourselves, the faster it improves for you — that speed is the moat.

03Now

Education is the entrance,
not the product.

Vibecamp and our recurring online sessions teach AI workflows — then the practice continues on chat.baryon.ai, where every execution becomes measurable AX data. Training → hands-on → measurement, one pipeline.

04FAQ

Frequently asked.

What does "Baryon" mean, and why?

Baryons are the heavy particles — protons, neutrons — that compose everyday matter. We named the lab after the unsexy thing that everything else depends on. The same way our tools work: the agents you see are built on small, durable primitives that already shipped.

How is the AI Work Pipeline priced?

Two stages. Short onboarding: per-seat, same-day start — measure in your real work from day one. Annual subscription: always-on operations with the AX impact report included. Both are quoted by organization size and scope — talk to us. Vibecamp individual courses stay free; enterprise training is subscription-based.

Can I use your stack with my company's existing tooling?

Yes. miri reads any git repository and writes patches as PRs. miridev-cli has JSON-RPC and exec modes meant for CI. baryon-core is MIT-licensed and runtime-agnostic — pair it with your own LLM provider.

Are you hiring?

Quietly, always. If you've shipped an agent in production and we'd recognize the codebase, send us a link and a sentence. Email's at the bottom.

Why both an English and Korean cohort?

Korea has world-class engineers and very few peer cohorts for AI-native building. We run vibecamp bilingually because the lessons travel but the network is local.

Stop reporting adoption.
Start proving impact.